
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))


# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "54"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder


# Use environment variables to figure out path to the csvs and auto_metrics
antenna = os.environ["ANTENNA"]
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')

antenna = "82"
csv_folder = "/home/obs/src/H5C_Notebooks/_rtp_summary_"
auto_metrics_folder = "/home/obs/src/H5C_Notebooks/auto_metrics_inspect"


display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))


import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna


# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, '*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')

Found 81 csvs in /home/obs/src/H5C_Notebooks/_rtp_summary_
Found 77 auto_metrics notebooks in /home/obs/src/H5C_Notebooks/auto_metrics_inspect


# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0

def jd_to_summary_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H5C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'

def jd_to_auto_metrics_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H5C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'


this_antenna = None
jds = []

# parse information about antennas and nodes
for csv in csvs:
    df = pd.read_csv(csv)
    for n in range(len(df)):
        # Add this day to the antenna
        row = df.loc[n]
        antnum = row['Ant']
        if antnum != int(antenna):
            continue
            
        if this_antenna is None:
            this_antenna = Antenna(row['Ant'], row['Node'])
        jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
        jds.append(jd)
        this_antenna.add_day(jd, row)
        break


# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]

df = pd.DataFrame(to_show)

# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
    df[col] = bar_cols[col]

z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
    df[col] = z_score_cols[col]

ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
    df[col] = ant_metrics_cols[col]

redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]   
for col in redcal_cols:
    df[col] = redcal_cols[col]

# style dataframe
table = df.style.hide_index()\
          .applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
          .background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
          .background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
          .applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
          .format({col: '{:,.4f}'.format for col in z_score_cols}) \
          .format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
          .format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
          .set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])


display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))


html_to_display = ''
for am_html in auto_metric_htmls:
    # read html into a list of lines
    with open(am_html) as f:
        lines = f.readlines()
    
    # find section with this antenna's metric plots and add to html_to_display
    jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
    try:
        section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
    except ValueError:
        continue
    html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
    for line in lines[section_start_line + 1:]:
        html_to_display += line
        if '<hr' in line: 
            break


HTML(html_to_display)

JDs	A Priori Status	Auto Metrics Flags	Dead Fraction in Ant Metrics (Jee)	Dead Fraction in Ant Metrics (Jnn)	Crossed Fraction in Ant Metrics	Flag Fraction Before Redcal	Flagged By Redcal chi^2 Fraction	ee Shape Modified Z-Score	nn Shape Modified Z-Score	ee Power Modified Z-Score	nn Power Modified Z-Score	ee Temporal Variability Modified Z-Score	nn Temporal Variability Modified Z-Score	ee Temporal Discontinuties Modified Z-Score	nn Temporal Discontinuties Modified Z-Score	Average Dead Ant Metric (Jee)	Average Dead Ant Metric (Jnn)	Average Crossed Ant Metric	Median chi^2 Per Antenna (Jee)	Median chi^2 Per Antenna (Jnn)
2459594	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.798880	-0.421809	4.089004	0.623948	0.635954	0.295203	2.289383	0.090971	0.7503	0.7790	0.2802	15.278253	14.343854
2459593	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	3.919784	2.183294	4.076365	1.884563	0.035117	0.677968	1.396652	1.266480	0.6876	0.6918	0.2851	6.262312	5.839369
2459592	RF_maintenance	0.00%	100.00%	100.00%	0.00%	-	-	0.332467	-0.919101	1.752371	1.251863	-0.000540	-0.550923	1.162397	0.003050	0.0622	0.0521	0.0076	nan	nan
2459591	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	345.198115	349.058913	inf	inf	31.173500	69.100989	165.087397	828.196723	nan	nan	nan	0.000000	0.000000
2459590	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	8.249452	2.098076	4.557322	0.939425	1.544462	2.652569	0.530434	0.141404	0.6410	0.6608	0.3847	6.234476	6.736941
2459589	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	6.869185	1.374260	4.343636	0.596804	2.829793	0.948271	1.204194	-0.321107	0.6753	0.6811	0.3063	7.315252	6.324552
2459588	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.683023	0.862844	2.691511	0.617553	17.395092	7.080994	0.755659	0.135820	0.7297	0.7246	0.2540	10.306423	8.877298
2459587	RF_maintenance	100.00%	-	-	-	100.00%	0.00%	5.108432	2.014136	6.013158	0.744167	-1.598116	-0.223848	-4.675000	3.736147	nan	nan	nan	0.000000	0.000000
2459586	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	5.242809	1.158556	2.310227	0.375294	2.823972	-0.096134	6.334397	2.052980	0.6225	0.6534	0.3833	4.362825	4.553451
2459585	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	11.722523	6.375887	2.132215	1.265429	4.534540	4.042142	3.611418	0.423855	0.0641	0.0565	0.0047	0.000000	0.000000
2459584	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	15.187600	14.279502	7.443105	2.117785	14.217799	11.455024	50.976203	48.377203	0.6088	0.6326	0.3945	5.360541	10.799418
2459583	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	7.122431	2.304782	6.275760	2.562617	4.091698	-0.351746	4.932270	0.522510	0.6253	0.6514	0.4087	2.391328	1.876369
2459582	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	6.622922	1.924157	3.628822	1.928228	14.015008	3.609784	0.547159	-0.200720	0.6304	0.6552	0.4111	4.088611	4.207235
2459581	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	10.111673	2.557750	6.911613	2.139881	10.391770	0.596265	3.505756	-0.203058	0.6320	0.6621	0.4086	4.583936	4.395404
2459580	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	7.290311	2.028972	5.582096	2.189832	8.953068	1.180613	9.844062	0.833556	0.6348	0.6629	0.4017	0.000000	0.000000
2459579	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	6.669378	2.270443	6.713322	2.972122	5.495354	-0.155640	0.435814	-0.076286	0.6239	0.6583	0.4082	3.477511	3.046438
2459578	RF_maintenance	100.00%	100.00%	100.00%	0.00%	-	-	0.019859	-0.732719	0.275394	0.628953	12.848152	2.284694	2.621797	-0.373276	0.0556	0.0366	0.0044	nan	nan
2459577	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	9.878444	1.951932	5.717154	2.063049	9.604559	0.990187	4.744813	0.003904	0.6352	0.6644	0.4007	4.260216	4.189425
2459576	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	7.256393	1.153521	3.882569	1.788406	3.307099	0.747838	2.811839	-0.012296	0.6588	0.6839	0.4037	7.816984	7.093876
2459575	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.379776	1.865048	2.393822	1.377492	11.134782	3.127315	3.734413	1.446790	0.7282	0.7369	0.3455	8.943472	10.181082
2459574	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	6.062112	1.347987	6.288851	1.762891	2.384181	0.501076	1.266006	-0.667284	0.6437	0.6772	0.4067	4.744823	4.715902
2459573	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459572	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	7.335283	1.545127	6.183568	1.831237	0.372838	0.756649	0.958007	0.314274	0.6495	0.6827	0.4026	6.828951	6.614060
2459571	RF_maintenance	0.00%	100.00%	100.00%	0.00%	-	-	0.299240	-0.789374	-0.262618	0.410385	-1.240554	-0.780366	0.977976	-1.292992	0.0615	0.0438	0.0068	nan	nan
2459570	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459569	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	5.512209	1.803699	7.295186	2.128338	10.000118	1.689058	9.194075	2.206985	0.7381	0.7580	0.2392	8.964285	6.105909
2459566	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	6.904328	1.272891	8.304468	2.496418	2.365641	0.881953	5.953090	0.053683	0.6327	0.6691	0.4207	4.777337	4.656002
2459565	RF_maintenance	0.00%	-	-	-	100.00%	0.00%	-0.457058	-0.457058	-0.461085	-0.461085	-0.863548	-0.863548	-0.922228	-0.922228	nan	nan	nan	0.000000	0.000000
2459564	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.975485	-0.016683	1.979710	-0.730352	1.369708	4.714200	5.281165	-0.249602	0.6681	0.6856	0.4212	3.621549	3.584193
2459563	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	5.996014	1.789335	5.942977	-0.025682	14.719940	8.630283	9.107440	3.640745	0.6598	0.6837	0.4099	4.510666	4.851908
2459562	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.896991	0.487564	1.249445	1.224534	0.944993	0.824166	0.700204	0.469131	0.6590	0.6870	0.4105	3.849885	3.735344
2459561	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	3.521290	0.450348	1.968512	0.571117	2.467545	0.563643	2.749154	0.883306	0.6639	0.6958	0.4029	4.007088	4.035286
2459560	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459559	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	3.434378	0.231591	0.622010	0.884877	0.878666	0.759466	0.147964	0.895600	0.6550	0.6873	0.4027	3.391663	3.332024
2459558	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	5.295212	1.873793	2.877428	2.196643	5.018790	1.871981	9.498160	4.365673	0.6618	0.6855	0.4067	8.893572	7.694570
2459557	RF_maintenance	-	100.00%	100.00%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.0450	0.0358	0.0041	nan	nan
2459556	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	7.395904	2.052594	2.109495	2.267236	5.898948	1.578558	1.577570	1.791335	0.6569	0.6870	0.4056	8.663955	7.597036
2459554	RF_maintenance	-	0.00%	0.00%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.6607	0.6912	0.4175	nan	nan
2459553	RF_maintenance	-	0.00%	0.00%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.6626	0.6889	0.4117	nan	nan
2459552	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	3.144622	0.940256	2.118745	1.782045	8.798152	8.137267	1.270636	0.227089	0.6637	0.6889	0.4186	0.000000	0.000000
2459551	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.956887	0.511311	0.812271	1.297862	0.634634	0.955564	0.212807	0.164066	0.6692	0.6914	0.4085	3.968143	3.675944
2459550	RF_maintenance	-	95.88%	95.88%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.0740	0.0612	0.0049	nan	nan
2459549	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	5.830875	2.066166	1.960161	2.023363	7.198442	3.937466	1.598837	0.273553	0.6578	0.6881	0.4188	4.595833	4.191873
2459542	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	7.978358	2.209783	0.054937	-0.666062	0.705124	0.714262	1.130565	3.584320	0.7270	0.7462	0.3698	4.805204	4.141584
2459541	RF_maintenance	0.00%	1.34%	1.79%	0.00%	100.00%	0.00%	3.399251	1.794592	0.050227	1.358626	0.559105	1.166633	0.077394	2.107171	0.7131	0.7317	0.3498	6.320461	6.636608
2459540	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	3.701573	1.307268	0.381487	0.040609	0.739692	3.193355	0.873023	2.315236	0.7263	0.7439	0.3543	4.151848	3.999743
2459536	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	11.212624	1.701370	1.580970	1.150238	1.696071	-0.503716	0.452430	3.830857	0.6751	0.7075	0.4495	0.000000	0.000000
2459535	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	3.699786	0.651752	0.553342	-0.338036	0.410041	1.972492	5.511810	4.038901	0.7568	0.7655	0.3656	4.070488	4.328319
2459534	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	3.469614	0.732622	0.494260	0.006417	-0.281397	5.080501	5.591814	5.188979	0.7534	0.7542	0.3667	8.296125	9.132660
2459533	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	7.755037	1.877655	0.705718	-0.413545	1.401464	0.979375	0.638586	0.472222	0.6804	0.7118	0.4169	4.143604	4.011891
2459532	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	8.571089	1.979215	1.123719	0.838887	2.519072	-0.484025	1.339767	2.119806	0.6878	0.7104	0.4097	0.000000	0.000000
2459530	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	4.619901	0.319301	0.557557	0.182569	0.254666	0.812418	2.558957	6.395511	0.6897	0.7167	0.4180	4.648658	4.354987
2459527	RF_maintenance	0.00%	-	-	-	100.00%	0.00%	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459524	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	7.343208	1.959479	1.275056	-0.486528	1.021055	5.586801	2.995306	13.519999	0.9043	0.9390	0.3069	0.000000	0.000000
2459523	RF_maintenance	100.00%	-	-	-	100.00%	0.00%	9.567439	2.028858	1.647886	-0.002795	2.460461	-0.692932	0.121547	0.506191	nan	nan	nan	5.737798	6.207785
2459522	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	7.912728	1.958342	1.194634	0.128165	-0.107464	4.214267	0.354725	5.707315	0.6370	0.7189	0.3762	2.784050	2.496561
2459513	RF_maintenance	0.00%	100.00%	100.00%	0.00%	-	-	-0.849416	-0.653228	0.570866	-0.008893	-1.058316	-0.716581	0.540309	-0.481414	0.0873	0.0764	0.0203	nan	nan
2459508	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	6.404678	1.528220	0.167407	-0.405441	1.654812	0.040710	2.612701	2.551338	0.9183	0.9606	0.1606	0.000000	0.000000
2459505	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	8.517822	2.418300	0.482139	1.856025	-0.112346	1.396895	-0.148155	0.283160	0.8761	0.8606	0.2279	8.098677	7.381214
2459503	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	6.954107	1.671833	1.285318	0.343921	1.556458	0.716028	6.555976	14.049240	0.8713	0.8665	0.4371	0.000000	0.000000
2459501	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	6.097714	1.150163	0.460502	0.011870	0.258551	-0.554561	1.378258	2.442510	0.8464	0.8873	0.3900	0.000000	0.000000
2459500	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	7.428223	1.353461	0.744123	-0.250498	0.880338	-0.078852	0.903721	1.181463	0.8500	0.8811	0.3840	0.000000	0.000000
2459499	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	6.446495	0.699640	0.465440	-0.698535	1.458467	1.211693	4.748121	4.345411	0.8820	0.9425	0.1781	0.000000	0.000000
2459498	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	6.999367	0.868173	0.654786	0.562012	1.206478	2.052522	0.087416	0.570132	0.8610	0.8825	0.4118	0.000000	0.000000
2459497	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	7.822727	0.759216	0.229406	0.948185	0.782333	2.056682	1.721925	0.630183	0.8936	0.9288	0.3397	0.000000	0.000000
2459496	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	8.175489	1.150417	0.742106	-0.204870	1.174841	0.901162	9.623173	10.122039	0.0522	0.0558	0.0025	0.000000	0.000000
2459495	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	6.041993	0.407065	0.795696	0.009765	1.105169	2.331080	7.510880	17.064840	0.0499	0.0612	0.0035	0.000000	0.000000
2459494	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	6.210554	0.246255	0.392120	0.674398	2.478677	2.289162	1.407917	-0.060751	0.0643	0.0517	0.0027	0.000000	0.000000
2459492	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	6.498043	1.380838	-0.845995	0.319902	5.366718	-0.657537	5.663846	-0.097308	0.0678	0.0623	0.0037	0.000000	0.000000
2459491	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	8.020207	1.583668	-0.866656	0.998951	4.522995	-0.031179	0.280804	3.259200	0.0665	0.0570	0.0028	0.000000	0.000000
2459490	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	7.534358	1.262340	-1.422557	0.923641	2.495698	-0.481495	5.511339	3.106375	0.0674	0.0660	0.0062	0.000000	0.000000
2459489	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	7.784344	0.613645	-1.046240	0.434918	2.524068	-0.569541	5.076254	0.847780	0.0720	0.0632	0.0045	0.000000	0.000000
2459488	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	4.692266	1.611640	-0.096001	0.613077	4.666321	-0.023327	8.602804	0.096791	0.0732	0.0626	0.0042	0.000000	0.000000

Antenna Season Report Notebook¶

Antenna 82 Report

Load relevant info from summary CSVs¶

Table 1: Per-Night RTP Summary Info For This Atenna¶

Antenna 82, Node 7:

Load antenna metric spectra and waterfalls from auto_metrics notebooks.¶

Figure 1: Antenna autocorrelation metric spectra and waterfalls.¶

Antenna 82: 2459604

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Load antenna metric spectra and waterfalls from `auto_metrics` notebooks.¶